Pandas is a python library for data processing. It makes many of your typical data operations easy - input and output, joining, aggregating, and various analytics. But being so easy to use makes it easy to use poorly (pandamonium)! This talk will explore how to get more out of pandas by using it the way it wants to be used. I'll speak about the internals of pandas and pandas data structures. I will then describe ways to speed up your code by by structuring your data processing in a more pandonic way, demonstrated through worked examples.

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